INFOGEST static in vitro simulation of gastrointestinal food digestion

被引:2277
|
作者
Brodkorb, Andre [1 ]
Egger, Lotti [2 ]
Alminger, Marie [3 ]
Alvito, Paula [4 ,5 ]
Assuncao, Ricardo [4 ,5 ]
Ballance, Simon [6 ]
Bohn, Torsten [7 ]
Bourlieu-Lacanal, Claire [8 ]
Boutrou, Rachel [9 ]
Carriere, Frederic [10 ]
Clemente, Alfonso [11 ]
Corredig, Milena [12 ]
Dupont, Didier [9 ]
Dufour, Claire [13 ]
Edwards, Cathrina [14 ]
Golding, Matt [15 ]
Karakaya, Sibel [16 ]
Kirkhus, Bente [6 ]
Le Feunteun, Steven [9 ]
Lesmes, Uri [17 ]
Macierzanka, Adam [18 ]
Mackie, Alan R. [19 ]
Martins, Carla [4 ,5 ]
Marze, Sebastien [20 ]
McClements, David Julian [21 ]
Menard, Olivia [9 ]
Minekus, Mans [22 ]
Portmann, Reto [2 ]
Santos, Claudia N. [23 ,24 ]
Souchon, Isabelle [25 ]
Singh, R. Paul [26 ,27 ]
Vegarud, Gerd E. [28 ]
Wickham, Martin S. J. [29 ]
Weitschies, Werner [30 ]
Recio, Isidra [31 ]
机构
[1] Teagasc, Food Res Ctr, Fermoy, Cork, Ireland
[2] Agroscope, Bern, Switzerland
[3] Chalmers Univ Technol, Dept Biol & Biol Engn, Gothenburg, Sweden
[4] Univ Aveiro, Natl Inst Hlth Doutor Ricardo Jorge, Lisbon, Portugal
[5] Univ Aveiro, CESAM, Aveiro, Portugal
[6] Nofima AS, As, Norway
[7] Luxembourg Inst Hlth, Strassen, Luxembourg
[8] Montpellier SupAgro, INRA, Montpellier, France
[9] INRA, STLO, Agrocampus Ouest, Rennes, France
[10] CNRS, Aix Marseille, UMR7281 Bioenerget & Ingn Prot, Marseille, France
[11] CSIC, Estn Expt Zaidin, Granada, Spain
[12] Aarhus Univ, Dept Food Sci, Tjele, Denmark
[13] INRA, SQPOV, Avignon, France
[14] Quadram Inst Biosci, Norwich, Norfolk, England
[15] Massey Univ, Riddet Inst, Palmerston North, New Zealand
[16] Ege Univ, Fac Engn, Dept Food Engn, Izmir, Turkey
[17] Israel Inst Technol, Haifa, Israel
[18] Gdansk Univ Technol, Fac Chem, Gdansk, Poland
[19] Univ Leeds, Sch Food Sci & Nutr, Leeds, W Yorkshire, England
[20] INRA, BIA, Nantes, France
[21] Univ Massachusetts, Chenoweth Lab, Dept Food Sci, Amherst, MA 01003 USA
[22] Triskelion, Zeist, Netherlands
[23] Inst Biol Expt & Tecnol, Oeiras, Portugal
[24] Univ Nova Lisboa, Inst Tecnol Quim & Biol, Oeiras, Portugal
[25] Univ Paris Saclay, GMPA, AgroParisTech, INRA, Thiverval Grignon, France
[26] Univ Calif Davis, Dept Biol & Agr Engn, Davis, CA 95616 USA
[27] Univ Calif Davis, Dept Food Sci & Technol, Davis, CA 95616 USA
[28] Norwegian Univ Life Sci, Dept Chem Biotechnol & Food Sci, As, Norway
[29] Reacta Biotech Ltd, Langley Bldg, Manchester, Lancs, England
[30] Ernst Moritz Arndt Univ Greifswald, Greifswald, Germany
[31] UAM, Inst Invest Ciencias Alimentac, CIAL, CSIC, Madrid, Spain
基金
英国生物技术与生命科学研究理事会;
关键词
LIPID-BASED FORMULATIONS; HUMAN GASTRIC LIPASE; WHEY-PROTEIN; CAROTENOID BIOACCESSIBILITY; STARCH DIGESTION; VIVO PERFORMANCE; DYNAMIC-SYSTEM; MILK-PROTEINS; PH-STAT; LIPOLYSIS;
D O I
10.1038/s41596-018-0119-1
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Developing a mechanistic understanding of the impact of food structure and composition on human health has increasingly involved simulating digestion in the upper gastrointestinal tract. These simulations have used a wide range of different conditions that often have very little physiological relevance, and this impedes the meaningful comparison of results. The standardized protocol presented here is based on an international consensus developed by the COST INFOGEST network. The method is designed to be used with standard laboratory equipment and requires limited experience to encourage a wide range of researchers to adopt it. It is a static digestion method that uses constant ratios of meal to digestive fluids and a constant pH for each step of digestion. This makes the method simple to use but not suitable for simulating digestion kinetics. Using this method, food samples are subjected to sequential oral, gastric and intestinal digestion while parameters such as electrolytes, enzymes, bile, dilution, pH and time of digestion are based on available physiological data. This amended and improved digestion method (INFOGEST 2.0) avoids challenges associated with the original method, such as the inclusion of the oral phase and the use of gastric lipase. The method can be used to assess the endpoints resulting from digestion of foods by analyzing the digestion products (e.g., peptides/amino acids, fatty acids, simple sugars) and evaluating the release of micronutrients from the food matrix. The whole protocol can be completed in similar to 7 d, including similar to 5 d required for the determination of enzyme activities.
引用
收藏
页码:991 / 1014
页数:24
相关论文
共 50 条
  • [1] INFOGEST static in vitro simulation of gastrointestinal food digestion
    André Brodkorb
    Lotti Egger
    Marie Alminger
    Paula Alvito
    Ricardo Assunção
    Simon Ballance
    Torsten Bohn
    Claire Bourlieu-Lacanal
    Rachel Boutrou
    Frédéric Carrière
    Alfonso Clemente
    Milena Corredig
    Didier Dupont
    Claire Dufour
    Cathrina Edwards
    Matt Golding
    Sibel Karakaya
    Bente Kirkhus
    Steven Le Feunteun
    Uri Lesmes
    Adam Macierzanka
    Alan R. Mackie
    Carla Martins
    Sébastien Marze
    David Julian McClements
    Olivia Ménard
    Mans Minekus
    Reto Portmann
    Cláudia N. Santos
    Isabelle Souchon
    R. Paul Singh
    Gerd E. Vegarud
    Martin S. J. Wickham
    Werner Weitschies
    Isidra Recio
    [J]. Nature Protocols, 2019, 14 : 991 - 1014
  • [2] Optimization of extraction and study of the in vitro static simulation of INFOGEST gastrointestinal digestion and in vitro colonic fermentation on the phenolic compounds of dandelion and their antioxidant activities
    Laib, Imen
    Laib, Djamel Eddine
    Semouma, Dounyazed
    Cheriet, Nardjess
    Aouzal, Badis
    Barkat, Malika
    Zaidi, Nedjoua
    Benredouane, Zineb Maroua
    Bennaga, Insaf
    Bendjama, Khaoula
    Remita, Bouchra
    Bouhezza, Cheima
    Falouti, Hayete
    [J]. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2023, 17 (06) : 5660 - 5682
  • [3] Optimization of extraction and study of the in vitro static simulation of INFOGEST gastrointestinal digestion and in vitro colonic fermentation on the phenolic compounds of dandelion and their antioxidant activities
    Imen Laib
    Djamel Eddine Laib
    Dounyazed Semouma
    Nardjess Cheriet
    Badis Aouzal
    Malika Barkat
    Nedjoua Zaidi
    Zineb Maroua Benredouane
    Insaf Bennaga
    Khaoula Bendjama
    Bouchra Remita
    Cheima Bouhezza
    Hayete Falouti
    [J]. Journal of Food Measurement and Characterization, 2023, 17 : 5660 - 5682
  • [4] Fungal digestive enzymes promote macronutrient hydrolysis in the INFOGEST static in vitro simulation of digestion
    Garvey, Sean M.
    Guice, Justin L.
    Hollins, Morgan D.
    Best, Caroline H.
    Tinker, Kelly M.
    [J]. FOOD CHEMISTRY, 2022, 386
  • [5] Addressing criticalities in the INFOGEST static in vitro digestion protocol for oleogel analysis
    Sabet, Saman
    Kirjoranta, Satu J.
    Lampi, Anna-Maija
    Lehtonen, Mari
    Pulkkinen, Elli
    Valoppi, Fabio
    [J]. FOOD RESEARCH INTERNATIONAL, 2022, 160
  • [6] Advances in static in vitro digestion models after the COST action Infogest consensus protocol
    Colombo, Raffaella
    Ferron, Lucia
    Frosi, Ilaria
    Papetti, Adele
    [J]. FOOD & FUNCTION, 2021, 12 (17) : 7619 - 7636
  • [7] Fungal digestive enzymes promote macronutrient hydrolysis in the INFOGEST in vitro simulation of digestion
    Guice, Justin L.
    Best, Caroline H.
    Hollins, Morgan D.
    Tinker, Kelly M.
    Garvey, Sean M.
    [J]. JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY, 2022, 99 : 95 - 95
  • [8] Chitin nanocrystals reduce lipid digestion and β-carotene bioaccessibility: An in-vitro INFOGEST gastrointestinal study
    Zhou, Hualu
    Dai, Taotao
    Liu, Jinning
    Tan, Yubing
    Bai, Long
    Rojas, Orlando J.
    McClements, David Julian
    [J]. FOOD HYDROCOLLOIDS, 2021, 113
  • [9] Static in vitro digestion model adapted to the general older adult population: an INFOGEST international consensus
    Menard, O.
    Lesmes, U.
    Shani-Levi, C. S.
    Calahorra, A. Araiza
    Lavoisier, A.
    Morzel, M.
    Rieder, A.
    Feron, G.
    Nebbia, S.
    Mashiah, L.
    Andres, A.
    Bornhorst, G.
    Carriere, F.
    Egger, L.
    Gwala, S.
    Heredia, A.
    Kirkhus, B.
    Macierzanka, A.
    Portman, R.
    Recio, I.
    Sante-Lhoutellier, V.
    Tournier, C.
    Sarkar, A.
    Brodkorb, A.
    Mackie, A.
    Dupont, D.
    [J]. FOOD & FUNCTION, 2023, 14 (10) : 4569 - 4582
  • [10] Protein digestion of different protein sources using the INFOGEST static digestion model
    Sousa, Raquel
    Portmann, Reto
    Dubois, Sebastien
    Recio, Isidra
    Egger, Lotti
    [J]. FOOD RESEARCH INTERNATIONAL, 2020, 130